Neural network fuzzy systems 5.2


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In the field of artificial intelligence, neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic. This App is a free handbook and covers 149 topics of neural networks and fuzzy systems in detail. These 149 topics are divided in 10 units.
The subject finds extensive use in machine learning, real time systems, robotics and other AI related fields.
Some of topics Covered in this application are:
1) Register Allocation and Assignment
2) The Lazy-Code-Motion Algorithm
3) Matrix Multiply: An In-Depth Example
4) Rsa topic 1
5) Introduction to Neural Networks
6) History of neural networks
7) Network architectures
8) Artificial Intelligence of neural network
9) Knowledge Representation
10) Human Brain
11) Model of a neuron
12) Neural Network as a Directed Graph
13) The concept of time in neural networks
14) Components of neural Networks
15) Network Topologies
16) The bias neuron
17) Representing neurons
18) Order of activation
19) Introduction to learning process
20) Paradigms of learning
21) Training patterns and Teaching input
22) Using training samples
23) Learning curve and error measurement
24) Gradient optimization procedures
25) Exemplary problems allow for testing self-coded learning strategies
26) Hebbian learning rule
27) Genetic Algorithms
28) Expert systems
29) Fuzzy Systems for Knowledge Engineering
30) Neural Networks for Knowledge Engineering
31) Feed-forward Networks
32) The perceptron, backpropagation and its variants
33) A single layer perceptron
34) Linear Separability
35) A multilayer perceptron
36) Resilient Backpropagation
37) Initial configuration of a multilayer perceptron
38) The 8-3-8 encoding problem
39) Back propagation of error
40) Components and structure of an RBF network
41) Information processing of an RBF network
42) Combinations of equation system and gradient strategies
43) Centers and widths of RBF neurons
44) Growing RBF networks automatically adjust the neuron density
45) Comparing RBF networks and multilayer perceptrons
46) Recurrent perceptron-like networks
47) Elman networks
48) Training recurrent networks
49) Hopfield networks
50) Weight matrix
51) Auto association and traditional application
52) Heteroassociation and analogies to neural data storage
53) Continuous Hopfield networks
54) Quantization
55) Codebook vectors
56) Adaptive Resonance Theory
57) Kohonen Self-Organizing Topological Maps
58) Unsupervised Self-Organizing Feature Maps
59) Learning Vector Quantization Algorithms for Supervised Learning
60) Pattern Associations
61) The Hopfield Network
62) Limitations to using the Hopfield network
63) Boltzmann Machines
64) Neural Network Models
65) Hamming Networks
66) Counterpropagation Networks
67) RAM-Based Neurons and Networks
68) Fuzzy Neurons
69) Fuzzy Neural Networks
70) Hierarchical and Modular Connectionist Systems
71) Neural Networks as a Problem-Solving Paradigm
72) Problem Identification and Choosing the Neural Network Model
73) Encoding the Information
74) The Best Neural Network Model
75) Architectures and Approaches to Building Connectionist Expert Systems
76) Connectionist Knowledge Bases from Past Data
77) Neural Networks Can Memorize and Approximate Fuzzy Rules
78) Acquisition of Knowledge
79) Destructive Learning
80) Competitive Learning Neural Networks for Rules Extraction
81) The REFuNN algorithm
82) Representing Spatial and Temporal Patterns in Neural Networks
83) Pattern Recognition and Classification
84) Image Processing
85) Speech processing
86) MLP for Speech Recognition
87) Using SOM for Phoneme Recognition
88) Time-Delay Neural Networks for Speech Recognition
89) Monitoring
90) Connectionist Systems for Diagnosis
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Neural network fuzzy systems is a free software application from the Teaching & Training Tools subcategory, part of the Education category. The app is currently available in English and it was last updated on 2016-08-05. The program can be installed on Android.

Neural network fuzzy systems (version 5.2) is available for download from our website. Just click the green Download button above to start. Until now the program was downloaded 3 times. We already checked that the download link to be safe, however for your own protection we recommend that you scan the downloaded software with your antivirus.

Program Details



General

 
Publisher Engineering Apps
Released Date 2016-08-05
Languages English

Category

 
Category Education
Subcategory Teaching & Training Tools

System requirements

 
Operating systems android

Download information

 
File size
Total downloads 3

Pricing

 
License model Free
Price N/A

Version History



Here you can find the changelog of Neural network fuzzy systems since it was posted on our website on 2016-11-05. The latest version is 5.2 and it was updated on soft112.com on 2017-06-27. See below the changes in each version:

version 5.2

posted on 2016-08-05

We have made it much Lighter and Faster,Integrated Website http://engineeringapps.net integrations for contributions.,Now contribute, edit, delete your posts from your laptop or computer as well.,Picture support, full editor support from website.,Other additions are:,Facebook login integration,Added more apps section,GCM integration,Advertisement management,Likes,Social sharing,Report abuse,News Feeds,Lots of suggestions on how to use at various steps.






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Release Date: 2016-08-05
Publisher: Engineering Apps
Operating System: android